class_docstr: Thin wrapper around PyTorch's Embedding op.
  
  :param config: Embedding config.
  :param embedding: pre-existing embedding Module.
  :param dtype: Torch data type for parameters.
docstr: Return the representation size of this encoder.
docstr_tok: ["Return","the","representation","size","of","this","encoder","."]
code: def get_num_hidden(self) -> int:
      """
      Return the representation size of this encoder.
      """
      return self.config.num_embed
  
imports: from abc import abstractmethod
  from dataclasses import dataclass, field
  from typing import List, Tuple, Optional, Union
  import torch
  import sockeye.constants
  from .None import config
  from .None import layers
  from .None import transformer
label_desc: Use image node_id 3 for calling the Embedding obj's underlying member method code with example usage: obj.get_num_hidden() and returns: self